Yellow taxis have fewer accidents than blue taxis because yellow is more visible than blue
文献类型: 外文期刊
作者: Ho, Teck-Hua 1 ; Chong, Juin Kuan 3 ; Xia, Xiaoyu 4 ;
作者机构: 1.Natl Univ Singapore, Off Deputy President Res & Technol, Singapore 119077, Singapore
2.Univ Calif Berkeley, Haas Sch Business, Berkeley, CA 94720 USA
3.Natl Univ Singapore, Sch Business, Singapore 119245, Singapore
4.Chinese Univ Hong Kong, Sch Business, Dept Decis Sci & Managerial Econ, Shatin, Hong Kong, Peoples R China
关键词: car color;road safety;data science;transportation science;sensory perception
期刊名称:PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA ( 影响因子:11.205; 五年影响因子:12.291 )
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收录情况: SCI
摘要: Is there a link between the color of a taxi and how many accidents it has? An analysis of 36 mo of detailed taxi, driver, and accident data (comprising millions of data points) from the largest taxi company in Singapore suggests that there is an explicit link. Yellow taxis had 6.1 fewer accidents per 1,000 taxis per month than blue taxis, a 9% reduction in accident probability. We rule out driver difference as an explanatory variable and empirically show that because yellow taxis are more noticeable than blue taxis-especially when in front of another vehicle, and in street lighting-other drivers can better avoid hitting them, directly reducing the accident rate. This finding can play a significant role when choosing colors for public transportation and may save lives as well as millions of dollars.
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